Human identification apparatus and human searching/tracking apparatus

Abstract

A human identification apparatus, which can judge for identification of human images even in temporally-distant frames or frames shot with different cameras, judges whether or not persons represented by human images respectively included in different image sequences are the same person, and includes: a walking posture detecting unit which detects first and second walking sequences, each sequence being an image sequence indicating a walking state of respective first and second persons respectively included in the different image sequences; and a walking state estimating unit which estimates a transition state of a walking posture in the periodic walking movement of the first person at a time or in a position different from a time or a position of the walking sequence of the first person; and a judging unit which verifies whether or not the estimated transition state of the walking posture of the first person matches the transition state of the walking posture of the second person, and judges that the first person and the second person are the same person in the case where the transition states match with each other.

Description

CROSS REFERENCE TO RELATED APPLICATION [0001] This is a continuation application of PCT application No. PCT / JP05 / 013769 filed on Jul. 27, 2005, designating the United States of America.BACKGROUND OF THE INVENTION [0002] (1) Field of the Invention [0003] The present invention relates to a human identification apparatus which judges whether or not a human image included in one image sequence and a human image included in another image sequence represent the same person, and an apparatus which searches for or tracks a person. [0004] (2) Description of the Related Art [0005] In order to search for or track a specific person in an image sequence obtained by a surveillance camera, it is required to identify the specific person, namely, to judge whether or not a person that appears in one image or image sequence is as same as a person that appears in another image or image sequence. [0006] One of the conventional methods for judging a person for identification with the view to searching fo...

AI Technical Summary

Benefits of technology

[0013] According to the present invention, it is possible to verify between human image sequences respectively obtained from temporally-distant frames or with different sensors, by using spatiotemporal period information, spatiotemporal phase information and spatiotemporal position information which can be obtained based on human gait.

[0014] In other words, it is possible to provide a human identification apparatus which can judge whether or not persons represented by the human images that are respectively obtained from the temporally-distant frames or the frames shot by different cameras are the same person, and a human searching / tracking apparatus which searches for or tracks a person using such human identification apparatus.

Problems solved by technology

However, the conventional method, in which a person is searched in positions that are close between the frames, has a problem that, in the case where a detection of the person once fails in a certain frame, it becomes impossible to identify a human image in a frame prior to the failed frame with a human image in a frame following the failed frame, so as to track the person.

Other problems, however, are that a positional change increases due to a movement of a person in the case of using temporally distant frames, and that changes of a direction in which the person stands with respect to a camera, a posing of the person and lighting conditions render it difficult to correspond the human image in one frame with the human image in another frame, even though the persons are the same person.

Therefore, in the case where plural persons appear in an image, when a person to be searched for or tracked is hidden behind another person or an object, or when a normal detection cannot be temporarily carried out in a frame due to changes in the lighting conditions, a problem is that it is no longer possible to continue the search or tracking.

Images